Abstract: A communications device (100) for classifying an instance (110) using Machine Learning (ML) is provided. The communications device is operative to acquire a feature vector representing the instance, classify the instance using a local first ML model, calculate a confidence level, and, if the calculated confidence level is less than a threshold confidence level, acquire information identifying one or more other communications devices, and transmit a classification request message comprising the feature vector to the one or more other communications devices.

Abstract: In a communication system, a first network node is configured to execute at least one service application executing a first service and at least one analytics application executing at least part of a distributed analytics service. The first network node obtains information about a new telecommunication service and transmits, to a second network node in the communication system, a request for a policy for the new telecommunication service. The first network node receives, from the second network node, the policy for the new telecommunication service and updates a currently applied policy on the basis of the received policy. The updated policy rebalances resources allocated from a shared computing resource pool of the first network node between the new telecommunication service and the at least one analytics application such that the new telecommunication service maintains adherence to the one or more requirements of a service level agreement.

Abstract: Some embodiments herein relate to a method performed by a wireless communication device for managing communication in a wireless communications network. The wireless communication device obtains an indicator indicating a model and one or more trained model parameters for the model, wherein the model is related to an event being one of the following events: a handover procedure, a cell reselection procedure, and a beam reselection procedure. The wireless communication device further selects the model based on the obtained indicator. The wireless communication device executes the selected model using the obtained one or more trained model parameters; and triggers a process, being associated with the event, based on an output of the executed model.

Abstract: In a communication system, a first network node is configured to execute at least one service application executing a first service and at least one analytics application executing at least part of a distributed analytics service. The first network node obtains information about a new telecommunication service and transmits, to a second network node in the communication system, a request for a policy for the new telecommunication service. The first network node receives, from the second network node, the policy for the new telecommunication service and updates a currently applied policy on the basis of the received policy. The updated policy rebalances resources allocated from a shared computing resource pool of the first network node between the new telecommunication service and the at least one analytics application such that the new telecommunication service maintains adherence to the one or more requirements of a service level agreement.

Abstract: It is disclosed a network node (200, 220, 300, 400, 500, 600, 80) and a method for executing an analytics task. The network node is adapted to reside in a telecommunication network, and to be supported by a distributed cloud infrastructure. The network node is adapted to execute at least one service application (202) executing a first service and at least one analytics application (204) executing at least part of a distributed analytics service, where the network node further is adapted to comprise a node policy agent (206, 226, 304, 504, 606) and a node manager (210, 230, 306, 406, 506, 608). By applying a policy restrictions on the analytics task executed on the same network node as a service application, service level agreements for the service application in a telecommunication cloud can be upheld.

Abstract: Some embodiments herein relate to a method performed by a wireless communication device for managing communication in a wireless communications network. The wireless communication device obtains an indicator indicating a model and one or more trained model parameters for the model, wherein the model is related to an event being one of the following events: a handover procedure, a cell reselection procedure, and a beam reselection procedure. The wireless communication device further selects the model based on the obtained indicator. The wireless communication device executes the selected model using the obtained one or more trained model parameters; and triggers a process, being associated with the event, based on an output of the executed model.

Abstract: It is disclosed a control node (40; 50) capable of deciding in which computing nodes to execute a plurality of subqueries of a real-time continuous query, and a method therefore. The plurality of subqueries are executed (210; 302) in two or more computing nodes and properties of at least one of: the one or more data centers comprising the computing nodes, execution of the plurality of subqueries, and the data streams, are monitored (212; 304). A subquery is selected, after which this is executed (214; 306) in an alternative computing node. Properties are monitored (214, 308) during this second execution, and if monitored properties from this execution indicate an improved performance, the subquery may be transferred (218; 310) to said alternative computing node. It is an advantage that real-time queries may be optimized, by determining in which computing node to execute what subqueries of a query for best performance.

Abstract: A communications device (100) for classifying an instance (110) using Machine Learning (ML) is provided. The communications device is operative to acquire a feature vector representing the instance, classify the instance using a local first ML model, calculate a confidence level, and, if the calculated confidence level is less than a threshold confidence level, acquire information identifying one or more other communications devices, and transmit a classification request message comprising the feature vector to the one or more other communications devices.

Abstract: Methods for managing a media stream from a media server are disclosed. The communication device transmits, to the media server, a request for the first set of media rates and the at least one segment time period. The communication device receives a response indicating the first set of media rates and the at least one segment time period. Moreover, the communication device transmits, to the base station, a request for a second set of media rates, wherein the request comprises information about the first set, a parameter relating to length of the at least one segment time period, and an indication relating to a time period during which the second set of media rates is below a media stream rate for reception at the communication device. Furthermore, the communication device receives a response indicating the second set, and selects a media rate out of the second set.

Abstract: There is provided mechanisms for grouping wireless devices of a cell of a communications network. A method is performed by a system in the communications network. The method comprises acquiring user network data for wireless devices in a cell of the communications network and cell network data for the cell. The method comprises determining groups for the wireless devices and assigning each one of the wireless devices to one of the groups using unsupervised machine learning with the user network data and the cell network data as input. The method comprises assigning a wireless device entering the cell to one of the groups using supervised machine learning with user network data of said wireless device and the cell network data as input.

Abstract: A node of a communication network determines a hash-based sketch. The sketch may for example correspond to a Count-Min (CM) sketch. The sketch summarizes a number of occurrence of an event for a group of UEs. Further, the node receives information representing the number of occurrence of the event for said group of UEs from one or more further nodes of the communication network, e.g., in a further hash-based sketch. The node updates the sketch with the information received from the further and provides the updated sketch to the further nodes.

Abstract: Methods for managing a media stream from a media server are disclosed. The communication device transmits, to the media server, a request for the first set of media rates and the at least one segment time period. The communication device receives a response indicating the first set of media rates and the at least one segment time period. Moreover, the communication device transmits, to the base station, a request for a second set of media rates, wherein the request comprises information about the first set, a parameter relating to length of the at least one segment time period, and an indication relating to a time period during which the second set of media rates is below a media stream rate for reception at the communication device. Furthermore, the communication device receives a response indicating the second set, and selects a media rate out of the second set.

Abstract: Embodiments herein disclose a method in a radio base station (12) for handling Discontinuous Reception, DRX, operation at a terminal (10) served by the radio base station (12). The radio base station (12) selects a parameter related to DRX operation based on at least one of: a service type of a packet intended for the terminal (10) and a terminal status of the terminal (10). The radio base station then transmits the parameter to the terminal (10).

Abstract: The present invention relates to methods and devices for pre-buffering one or more content data items to be rendered at a mobile terminal. In a first aspect of the present invention, a mobile terminal (11, 12, 13) comprises a processing unit (15) arranged to acquire a probability with which at least one selected content data item of the one or more content data items is to be rendered at the mobile terminal, and to acquire an estimated point in time when the at least one selected content data item is to be rendered at the mobile terminal. Further, the processing unit is arranged to pre-buffer a first selected part of the at least one selected content data item in the mobile terminal such that the first selected part of the at least one selected content data item is ready for rendering at the estimated point in time, the extent of the pre-buffered first selected part being related to the probability with which the at least one selected content data item is to be rendered at the mobile terminal.

Abstract: Method and user equipment for requesting scheduling resources from a serving radio network node, the method comprises obtaining traffic characteristics associated with radio communication between the radio network node and the UE. The method further comprises predicting, based at least on the obtained traffic characteristics, data to arrive in a transmission buffer; and transmitting a scheduling request to the network node before said data arrives in said transmission buffer.

Abstract: It is disclosed a control node (40; 50) capable of deciding in which computing nodes to execute a plurality of subqueries of a real-time continuous query, and a method therefore. The plurality of subqueries are executed (210; 302) in two or more computing nodes and properties of at least one of: the one or more data centers comprising the computing nodes, execution of the plurality of subqueries, and the data streams, are monitored (212; 304). A subquery is selected, after which this is executed (214; 306) in an alternative computing node. Properties are monitored (214, 308) during this second execution, and if monitored properties from this execution indicate an improved performance, the subquery may be transferred (218; 310) to said alternative computing node. It is an advantage that real-time queries may be optimized, by determining in which computing node to execute what subqueries of a query for best performance.

Abstract: It is disclosed a network node (200,220, 300, 400, 500, 600, 80) and a method for executing an analytics task. The network node is adapted to reside in a telecommunication network, and to be supported by a distributed cloud infrastructure. The network node is adapted to execute at least one service application (202) executing a first service and at least one analytics application (204) executing at least part of a distributed analytics service, where the network node further is adapted to comprise a node policy agent (206, 226,304, 504, 606) and a node manager (210, 230, 306, 406, 506, 608). By applying a policy restrictions on the analytics task executed on the same network node as a service application, service level agreements for the service application in a telecommunication cloud can be upheld.

Abstract: According to a first aspect, it is presented a method, performed by a network device, for determining a set of power state parameters at least partly defining when a wireless terminal is to be in an active state or a power saving state. The method comprises the steps of: obtaining at least one traffic characterization parameter; for each traffic flow, simulating a plurality of sets of power state parameters; obtaining at least one operational traffic characterization parameter; associating the operational traffic with a selected traffic flow; finding an applicable set of power state parameters by finding a set of power state parameters with a low cost, wherein the set of power state parameters are associated with the selected traffic flow; and sending the applicable set of power state parameters to the wireless terminal in operation. A corresponding network node, computer program and computer program product are also presented.

Abstract: It is presented a method, performed by a network device, for determining a set of power state parameters at least partly defining when a wireless terminal is to be in an active state or a power saving state. The method comprises the steps of: obtaining traffic types for each one of a plurality of traffic flows to or from a wireless terminal, resulting in a present combination of traffic types; finding, in a power state parameter repository, a first match between the present combination of traffic types and a combination of traffic types associated with a first set of power state parameters; and when the first match is found, transmitting the first set of power state parameters to the wireless terminal. A corresponding network device, computer program and computer program product are also presented.

Abstract: The present invention relates to a method and device of evaluating a traffic shaper used for shaping at least two traffic flows of a mobile terminal operating according to a particular DRX setting in a mobile communications network. The method comprises the steps of acquiring an estimated lower bound of battery savings as a function of transmission rate of each traffic flow (f1, f2) of the at least two traffic flows for the mobile terminal according to the particular DRX setting. Further, the method comprises acquiring an estimated battery savings measure for said each traffic flow (f1, f2) before shaping, and acquiring an estimated battery savings measure for said each traffic flow (f1, f2) after shaping.